东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2011, Vol. 32 ›› Issue (5): 614-617.DOI: -

• 论著 • 上一篇    下一篇

灰色预测模型在冷轧动态张力控制中的应用

张岩;邵富群;王军生;刘云江;   

  1. 东北大学信息科学与工程学院;鞍钢股份有限公司;
  • 收稿日期:2013-06-19 修回日期:2013-06-19 发布日期:2013-04-04
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(50604006)

Using a gray predictive model for controlling dynamic tension during cold rolling

Zhang, Yan (1); Shao, Fu-Qun (1); Wang, Jun-Sheng (2); Liu, Yun-Jiang (2)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110819, China; (2) Angang Steel Co., Ltd., Anshan 114021, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Zhang, Y.
  • About author:-
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摘要： 针对PID控制器参数保持不变时很难保证轧机架间张力稳定在裕量范围内的问题.在分析轧机辊缝与速度动态张力控制原理的基础上,推导出机架间张力控制对象的数学模型,并利用灰色预测PID控制方法,实现了机架间张力稳定控制.从仿真数据和实际应用结果数据可以得出,此方法对比其他传统PID控制方法,能够有效地保证张力系统较高的动静态控制性能和干扰抑制性能要求,且控制精度更高.

关键词: 冷轧, 张力控制, 辊缝调张法, GM(1, 1)模型, 灰色预测控制

Abstract: Maintaining controlled tension in a cold rolling mill is difficult when parameters in conventional PID controllers are non-variable. By analyzing dynamic tension control theory of roller gap and velocity, a variable parameter PID controllers were designed. Using the grey predictive PID control to enhance stability and precision of the tension control, the simulation and application experiments results indicated that system dynamic response performance and disturbance depression was significantly enhanced. The system has more favorable characteristics over conventional PID controllers.

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